Smoothing Splines: Methods and Applications

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Local and global asymptotic inference in smoothing spline models (2012, methodology): “and nonperiodic smoothing splines in terms of inference. 1. Introduction. As a ﬂexible modeling tool, smoothing splines provide a general framework for statistical analysis in a variety of ﬁelds; see [13, 41, 42]. The asymptotic studies on smoothing splines in the literature focus primarily on the e”
Global, Regional, and National Burden of CKD due to Glomerulonephritis from 1990 to 2019 (2022, unknown): “3 (13) High-middle sociodemographic index 157,969 165,234.”
Support vector machine (2013, unknown): “Another View of the Kernel SVM Proof of K ′ being the RK of HK ′ From Wang (2011), we need to show (a) Evaluational functional is bounded (b) K ′(x, ·) ∈ HK ′ (c) 〈K ′(x, ·), f (·)〉 = f (x) Proof of (a): K ′(x, x) = ∞ ∑ m=2 μmφm(x)(2) = 〈h(x),h(x)〉 ≤ C1, so that √ μmφm(x) ≤ √ C1, or φm(x) ≤ √ C1/μm.”
Morphological effects on the darkness of English intervocalic /l/ (2013, methodology): “SS ANOVA is a statistical procedure for investigating similarities and differences of curve shapes (Gu 2002, Davidson 2006, Wang 2011).”
Job autonomy and psychological well-being: A linear or a non-linear association? (2021, methodology): “In this study, we used spline models (Wang, 2011) to analyse the shape of the association.”